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Description

Inout SiteSearch utilizes Google APIs to retrieve search results for your website and presents them seamlessly back to your site. This process is executed with remarkable efficiency and minimal overhead, ensuring that searches are conducted swiftly and effectively. Moreover, Inout SiteSearch provides a user-friendly way to integrate a search box into your website. The widget code is readily available in the script's admin area, allowing you to easily copy and paste it into the desired HTML page. Additionally, Inout SiteSearch features a result caching system, which significantly enhances the speed of search queries. By storing results in the database for a designated period, this caching mechanism enables quicker access to previously fetched results. You have the flexibility to determine the caching duration directly from your admin panel, allowing you to optimize performance according to your preferences. Ultimately, this tool not only improves user experience but also streamlines website functionality.

Description

LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

InoutScripts

Website

www.inoutscripts.com/products/inout-sitesearch/

Vendor Details

Company Name

LMCache

Country

United States

Website

lmcache.ai/

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